Quantum Ventura

Applied AI research for federal programs.

An AI research company. Twelve years building what the Department of Defense and the Department of Energy ask for and cannot buy. Machine learning, cybersecurity, hyperspectral imaging, synthetic aperture radar, signal processing, metamaterials and hypersonics.

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Macro detail of a silicon interconnect layer — San Jose · Carson City · Dubai · Tokyo · Vancouver

Track record: Twelve years · thirteen federal awards
Agencies: Navy · Air Force · DARPA · MDA · DHS · DOE
Partners: Lockheed Martin · Penn State · Idaho National Lab
Vetting: DCAA audited · HubZone · DOT and State of California

Flagship product

CyberNeuro-RT

Real-time network defense built on a hybrid supervised and unsupervised deep learning engine. The same models deploy on CPU, GPU or low-power neuromorphic chips, so detection runs in a cloud core or on a sensor at the edge.

Full breakdown ↗

A neuromorphic processor package on a plain white surface

CyberNeuro-RT is a second layer of defense. It runs alongside the perimeter tools already in place and is built to reduce the likelihood of an intrusion succeeding, and to surface the ones that do sooner. No security product can make an intrusion impossible, and we do not claim otherwise.

Developed with Lockheed Martin's MFC Division and Pennsylvania State University, under partial funding from the U.S. Department of Energy.

HPC-scale intrusion detection

Detects intrusions across high-performance computing networks with unparalleled efficiency.

Comprehensive attack coverage

Supports detection of known attack types including DoS, DDoS and ransomware.

Flexible deployment

Deployable across edge, hybrid or full cloud infrastructure to meet your needs.

Hybrid deep learning

Combines supervised and unsupervised deep learning for robust threat identification.

Dynamic AI model management

Real-time model updates and continuous retraining for evolving threats.

Intuitive security dashboards

Interactive dashboards provide clear insights for efficient security operations.

Joint venture

Vulcan Ventura

Three programs in RF sensing, navigation and radar autonomy.

A stepped machined horn beside a smaller mount capped in blue

Air Force

RF Emitter Location

A compact onboard sensing package that locates and identifies radio-frequency emitters from unmanned aircraft, holding its accuracy in cluttered signal environments.

A brushed metal plate of square elements, one picked out in blue

Navy

RF-Referenced Navigation

A compact phased-array system that uses existing radio transmissions as navigation references, giving fast-moving vehicles an independent source of position data.

A machined cone with a blue inner face beside a dish of fine powder

NASA

Compact Radar for Autonomy

A low-cost radar sensing approach that gives autonomous vehicles perception and navigation where cameras and lidar fall short, in darkness, dust and poor light.

See the joint venture

Products

Three products, out of the federal programs behind them.

One product line, from real-time network defense through to source code.

Network defense

CyberNeuro-RT

Real-time network intrusion detection on a hybrid supervised and unsupervised deep learning engine, deployable on CPU, GPU or neuromorphic silicon.

DOE SBIR Phase II · TRL 4Full breakdown ↗

Enterprise

CNRT Vanguard

Automated HPC-scale network anomaly monitoring and autonomous threat mitigation.

DevSecOps

CNRT CodeLens

AI-driven source code vulnerability detection, trained on mission-critical repositories.

NAVY SBIR · TRL 4

The record

Fourteen federal programs, twelve years.

Major programs running with the Navy, the Air Force, DARPA, the Missile Defense Agency, Homeland Security and the Department of Energy, alongside Lockheed Martin and the national laboratories.

All 14 programs →

TRL 6 1 program

DOESTTR II-AMaterials

Electrochemical recycling of electronic constituents of value

Project synopsis

Recovers gold, copper and other constituents of value from electronic waste electrochemically and at room temperature. 25% higher recovery, 75% less chemical reagent, 30% lower water and electrical cost, and no toxic emissions. Commercialised as E-RECOV.

Partners
Idaho National Lab · Colt Refining
TRL 5 1 program

NAVYSBIR IISAR

Real-time synthetic aperture radar simulator

Project synopsis

A simulator that generates synthetic aperture radar imagery in real time, so detection and classification models can be trained and evaluated against scenarios that are impractical or too expensive to fly.

Partners
Lockheed Martin
TRL 3 1 program

NAVYSBIRMaterials

Machine-learning discovery of high-entropy alloys

Project synopsis

An automated screening campaign that searches high-entropy alloy compositions for high-temperature strength and oxidation resistance together, narrowing a very large candidate space down to a shortlist worth making and testing.

Partners